“Obvious” ideas still seem worth restating when society keeps behaving as if they aren’t.
If you’ve moved past these questions, I’d be genuinely interested in what conclusions you reached instead.
Even if coherence is learned implicitly, choosing a language, model, or representation already defines a bounded idea-space. The bias doesn’t disappear, it just moves into data and architecture. So my question isn’t whether coherence should be explicit or learned, but whether absolute exploration of an abstract idea-space is possible at all once any boundaries are imposed.
Guess absolute exploration hits the heat-death limit. You are hinting at a Drake-equation for bounded idea-space to guide AI: anchors x pressures x connectors x depth. Shift the boundaries for novelty.
Yeah, that’s a good way to put it. Absolute coverage feels like heat death, but changing the factors changes the space itself. That’s the part I’m still stuck on.
Hello sir, I tried your project and it's damn good.. honestly I too was thinking to build something similar but I am still a computer science student and have a busy schedule so I was not able to work on this project. But, seeing something similar made me feel really great. I loved ur project and I know it has great potential.. Keep it up!
really appreciate your work sir, I too believe in compounding. But still I don't know why sometimes it feels hard continuing.. still learning coding the old way. I feel, someday it will give me some edge, I just love coding the old way. Sometimes I feel anxious and kind of unsure about my approach but I have decided to continue what I am doing as I am too young in my 20's so I think it's ok to explore till I enjoy doing it. Thank you for sharing your work sir. Hope you keep learning and growing.
